code: def get_config(self):
      return {
          "_id": self._id,
          "merge": self.merge,
          "branches": [branch.get_config() for branch in self.branches],
          "in_bottle": None
          if self.in_bottle is None
          else self.in_bottle.get_config(),
          "out_bottle": None
          if self.out_bottle is None
          else self.out_bottle.get_config(),
      }
  
file_path: auptimizer/src/aup/Proposer/eas/models/layer_multi_branch.py
imports: import tensorflow
  import numpy
  from .layer_cascade import LayerCascade
label_desc: Use image node_id 8 for calling the LayerMultiBranch obj's underlying member method code with example usage: obj.get_config() and returns: dict